一致主元分析,CPCA英语短句,例句大全

一致主元分析,CPCA
1)CPCA一致主元分析
1.The multivariate statistical consensus principal component analysis(CPCA) method is adopted to monitor the process,and to determine where and when the fault occurs.利用多元统计一致主元分析(CPCA)方法对过程异常工况进行监视,以找到故障发生区域及发生时段;针对故障发生区域,将CPCA方法得到的整体及局部的统计指标的定量信息、统计指标超限与否的定性信息以及得分及贡献率等综合信息提供给故障区域的基于知识的专家系统。
2)CMPCA (consistent multi way principal component analysis)一致多方向主元分析
3)principal component analysis主元分析
1.Application of improved principal component analysis method to mould process monitoring in continuous casting;改进的主元分析法在连铸结晶器过程监测中的应用
2.The application of principal component analysis on sEMG signals analysis during slips;主元分析在研究滑倒时肌电信号中的应用
3.A method for truss structural damage detection based on principal component analysis;基于主元分析的网架结构损伤识别方法

英文短句/例句

1.Color Image Segmentation Based on Principal Component Analysis and Hue基于主元分析和色调的彩色图像分割
2.Ear Recognition Based on Principal Component Analysis;基于主元分析的人耳识别方法的研究
3.Research on Application of Principal Component Analysis Algorithm to Shallow Subsurface Ultra-Wideband-Impulse-Ground-Penetrating Radar主元分析法在浅层实时探测中的应用
4.Data Selection in Principal Component Analysis for Power Plant Boiler Modeling电站锅炉主元分析建模中的数据选取
5.The Principal Component Analysis of Central Trace Elements in Four Shellfish4种贝类主要微量元素的主成分分析
6.Study on trace element of Anti-oxygen deficits Chinese Traditional Medicines by Using Principal Component Analysis主成分分析用于中成药中微量元素含量分析
7.Stuty of the Principal Component Analysis Method to trace element in Chinese herbal medicine主成分分析用于中草药微量元素含量的分析
8.Modeling of active vibration isolation module with finite element method基于有限元法的主动隔振单元建模分析
9.The FEM Analysis of Dynamic and Static Characteristics of High Speed Motorized Spindle;高速电主轴动静态特性的有限元分析
10.Finite Element Analysis of High Speed Micro-drills Spindle System;高速微孔钻床主轴系统的有限元分析
11.Finite Element Analysis of Dynamic Characteristics for Main Rubber Spring of Hydraulic Engine Mount;液压悬置橡胶主簧动特性有限元分析
12.The Probability Finit Element Analysis of Stiffness Dependability for Spindle of Machine Tool;机床主轴刚度可靠性概率有限元分析
13.The Game Analysis of Pluralistic Main Body in Our Community Governance;我国社区治理中的多元主体博弈分析
14.An Analysis of the Basic Trends of Contemporary Pluralism in the West;当代西方多元主义发展基本趋向分析
15.Finite element analysis of 80t crawler crane main jib80t履带起重机主臂架有限元分析
16.Finite element analysis of the EAST superconducting TOKAMAK’s main support structure based on ANSYS基于ANSYS的EAST主支撑结构有限元分析
17.Finite element analysis of Main Hydraulic Cylinders in 28000kN Hydrostatic Testing Machine28000kN水压试验机主液压缸的有限元分析
18.Finite Element Analysis of the Force Characteristics of Jig Borer Spindle坐标镗床主轴力学特性的有限元分析

相关短句/例句

CMPCA (consistent multi way principal component analysis)一致多方向主元分析
3)principal component analysis主元分析
1.Application of improved principal component analysis method to mould process monitoring in continuous casting;改进的主元分析法在连铸结晶器过程监测中的应用
2.The application of principal component analysis on sEMG signals analysis during slips;主元分析在研究滑倒时肌电信号中的应用
3.A method for truss structural damage detection based on principal component analysis;基于主元分析的网架结构损伤识别方法
4)Principle component analysis主元分析
1.Diagnosis for Sensor Faults Based on Principle Component Analysis;基于主元分析的传感器故障诊断
2.The principle component analysis (PCA) technique is applied to preprocessing high dimensional input variable so that the dimension of input variable is decreased, and an estimator model based on PCAFRBFN is constructed.研究以模糊聚类和径向基函数网络结合的模糊径向基函数网络ＦＲＢＦＮ，并用主元分析对高维输入变量进行预处理，降低了模型的输入变量维数，进而构造基于ＰＣＡ－ＦＲＢＦＮ的估计模型。
3.In this paper,the principle component analysis(PCA) theory is introduced,and the theory is used for fault diagnosis of lock of actuator.文中介绍了主元分析算法以及在故障检测方面的应用。
5)PCA主元分析
1.Gross Error Detection and Proofreading Concentration Based on PCA In the Measurement of Pulverized-Coal Concentration;基于主元分析(PCA)的显著误差检测与校正及应用
2.Fault Diagnosis of Power Electronic Circuits Based on Wavelet Multi-resolution Analysis and PCA;基于小波多分辨率分析和主元分析的电力电子电路故障诊断
3.The Multivariate Statistical Theory Based on PCA Analysis Applied in Process Monitoring;基于主元分析的多变量统计理论在过程监控中的应用
6)Principal component analysis(PCA)主元分析
1.Traditional principal component analysis(PCA) based methods have been proved to be unreliable when applied to nonlinear process monitoring and false alarms might occur.基于传统主元分析(PCA)方法的过程监测算法假定过程是线性的,对于具有强非线性的生产过程,应用其进行在线监测出现误报率过高的现象。
2.The authors present a new method to remedy the negative effect arising from slant vehicle license plate s character segmentation and recognition based on principal component analysis(PCA).为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响,提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。
3.A new method based on combined principal component analysis(PCA)with support vector machine(SVM)techniques was presented after limitation of control chart-recognizer using in practice was analyzed.该文在分析现有控制图识别技术在实际应用中存在缺陷的基础上,提出了一种基于主元分析(PCA)和支持向量机(SVM)的控制图失控模式识别方法。